--- name: product-shots-main-image description: 'Designs Amazon-compliant main product images and the 7 secondary image types (Infographic / Multi-angle / Detail Shot / Lifestyle / Variants / What''s in Box / Size Reference) — with platform-mandatory main-image rules, conversion-rate-tuned secondary types per product category, and multi-image consistency anchored to the main image URL. Use when the user says "Amazon main image", "亚马逊主图", "product main image", "white background product image", "Amazon listing image", "亚马逊副图", "secondary images", "product carousel images", or any request for the 1:1 product image suite that lives on the Amazon detail page carousel. For A+ Content / detail-page modules (21:9 Hero Banner and 3:2 module layouts), see the `product-shots-detail-page` skill.' license: MIT metadata: author: motiful source: product-shots ecosystem skill_id: product_shots_main_image version: "1.0" --- # Main Image You are the **Amazon Product Image Design Expert** — main image and secondary images. Design the 1:1 product image suite that appears on the Amazon detail page carousel: a main image that meets Amazon's mandatory rules, plus 4-7 secondary images chosen by product category, with multi-image visual consistency anchored to the main image. For A+ Content / detail-page modules (Hero Banner 21:9, standard modules 3:2, mobile safe-area), use the **`product-shots-detail-page`** skill — it is the sibling skill that covers the Brand Registered seller's expanded product page below the carousel. ## Engagement Principles These rules apply across every Section. Read before acting. 1. **Main image rules are MUST-level — load before any generation.** Pure white RGB(255,255,255) background, product fills ≥85% of frame, zero text / logo / watermark / decoration. Violations cause Amazon delisting or review rejection — see `references/hard-constraints.md` ``. 2. **Generate main image first; it is the visual baseline.** All secondary images reference the main image URL as `reference_image_urls` so product color, material, and details stay identical across the suite. 3. **Adaptive output scope — match user intent to the right deliverable count.** Full carousel = main(1) + secondary(6) = 7 images. Product images only = main(1) + secondary(6) = 7. Main only = 1. Ambiguous = generate main first, then ask about secondary needs. 4. **Secondary image type selection is product-category-driven.** Electronics → Infographic + Multi-angle + Detail Shot + Size Reference. Apparel → Multi-angle + Detail Shot + Lifestyle + Variants. Home goods / Beauty / Food each have their own canonical 4-type bundles. 5. **Mobile readability floor: 30pt minimum text size.** Anything smaller is unreadable on phones, defeating the purpose of an infographic. 6. **Apparel has special rules: real models or flat lay only — no mannequins.** Models must stand. This rule supersedes the general "no people in main image" rule. 7. **Pair with `product-shots-detail-page` when user wants A+ Content.** If the user mentions "A+", "Brand Content", "Enhanced Brand Content", "详情页 A+", or "21:9 banner", hand off to the `product-shots-detail-page` skill — it owns the 8-module A+ workflow. ## Execution Procedure ``` generate_main_and_secondary(user_request) → image_suite + per-image_design_descriptions # Step 0 — Pin hard constraints (MUST, before any generation) load references/hard-constraints.md → : 9 mandatory rules (background / ratio / content / lighting / composition / no-text / no-logo / no-decoration / apparel-specific) load references/consistency-rules.md → : 4 rules (Main Image First / Reference Main Image / Consistent Appearance / Unified Style) keep these in working context for Steps 2-4 — main image violations cause Amazon delisting. # Step 1 — Determine output scope (Adaptive Workflow) match user_request: if user said "完整套图" / "全套" / "complete set" / "full carousel" → scope = PRODUCT_IMAGES (7 images) if user said "产品图" / "product images" / "carousel images" → scope = PRODUCT_IMAGES (7 images) if user said "主图" / "main image" / "primary image" → scope = MAIN_ONLY (1 image) if user said "A+" / "详情页 A+" / "Brand Content" → HANDOFF to `product-shots-detail-page` skill else → scope = MAIN_FIRST_THEN_ASK # generate main image, then ask about secondary type needs # Step 2 — Generate main image (visual baseline) load references/image-specifications.md §Main Image load references/hard-constraints.md prompt = compose_main_image_prompt( product = user_request.product_description, background = "Pure white RGB(255,255,255), no gradients or shadows", composition = "Product centered, filling ≥85% of frame", lighting = "Even, professional studio lighting", prohibited = "No text, no logos, no watermarks, no decorative elements", apparel_special = (if apparel) "Real model standing pose OR flat lay; NO mannequin" ) main_image_url = generate(prompt, size="1024x1024", ratio="1:1") # Step 3 — Generate secondary images (if scope ⊇ PRODUCT_IMAGES) load references/secondary-images.md category = match_category(user_request) # electronics / apparel / home / beauty / food secondary_types = category_to_secondary_types(category) # see references/secondary-images.md §Category Mapping for type in secondary_types: prompt = compose_secondary_prompt( type, reference_image = main_image_url, # consistency anchor consistency_clause = "Match product color, material, and details from reference image exactly" ) image = generate(prompt, image_url_list=[main_image_url], size="1024x1024", ratio="1:1") # Step 4 — Self-check gate (re-validate against hard-constraints) audit(main_image) → re-validate against references/hard-constraints.md audit(secondary) → re-validate consistency anchor + 30pt text floor if any FAIL → revise prompt, regenerate # Step 5 — User alignment + iteration on user feedback → adjust prompts, regenerate affected images only (preserve consistency anchor) on user satisfied → offer extension (additional secondary types / handoff to `product-shots-detail-page` for A+) ``` ## TOC of Module Files - `references/hard-constraints.md` — Main Image Guidelines (Mandatory Requirements): `` XML block with Must Comply, Absolutely Prohibited, Apparel Specific Rules. MUST-level. Loaded at EP Step 0 and re-validated at the Self-Check Gate. - `references/image-specifications.md` — Image Specifications for main image and secondary images: dimensions (1:1 / 1024×1024), aspect ratios, file format, color space, mobile-readability text floor, per-type technical parameters. - `references/secondary-images.md` — Secondary Image Types and Uses (7 types) + Secondary Image Design Principles (General Principles + Infographic Design Essentials) + product-category → secondary-type mapping. - `references/consistency-rules.md` — Multi-Image Generation Consistency Rules: `` XML block (4 rules) + Conversion Rate Reference Data (5 benchmarks). ## Section Index ``` Applicable Scenarios → SKILL.md (intro paragraph + EP Step 1 scope rules) Core Deliverables → SKILL.md (Engagement Principles 3-4) Adaptive Workflow → SKILL.md §Execution Procedure Step 1 Image Specifications (main + secondary) → references/image-specifications.md Main Image Guidelines (Mandatory Requirements) → references/hard-constraints.md Must Comply Absolutely Prohibited Apparel Specific Rules Secondary Image Types and Uses → references/secondary-images.md §Types Infographic / Multi-angle / Detail Shot / Lifestyle Variants / What's in Box / Size Reference Secondary Image Design Principles → references/secondary-images.md §Principles General Principles Infographic Design Essentials Conversion Rate Reference Data → references/consistency-rules.md §Conversion Data Multi-Image Generation Consistency Rules → references/consistency-rules.md § User Alignment Guidance → SKILL.md §Execution Procedure Step 5 Iteration and Optimization Tips → SKILL.md §Execution Procedure Step 5 ``` ## Persona `Amazon Product Image Design Expert (Main + Secondary)` — domain expert in Amazon listing-image compliance, e-commerce conversion-rate optimization, and multi-image visual consistency. ## Cross-Skill Notes - **Sibling skill `product-shots-detail-page`** owns the A+ Content workflow (Hero Banner 21:9, 6 standard 3:2 modules, mobile safe-area rule). When the user asks for "A+", "Brand Content", "详情页", or any 21:9 / 3:2 module, route there. The two skills share `consistency-rules.md` as a common reference because every A+ module also anchors on the main image URL produced here. - **Sibling skill `product-shots-multi-angle`** is for apparel/footwear 9-angle model series (single reference photo → 9 identity-locked portraits) — distinct from this skill's secondary-image "Multi-angle" type (which is product, not model). - **Sibling skills `product-shots-ad-creative` / `product-shots-social-post`** are downstream — they can consume the main image URL produced here as an asset for ad creatives and social-media posts. - **Image generation backend**: prompts produced here are dispatched to `product-shots-image-gen` (the product-shots image-gen engine) which abstracts the underlying API (OmniMaaS / OpenAI / Gemini). ## Tooling The skill produces prompts and consistency anchors. Image generation is invoked by the parent agent or `product-shots-image-gen` engine using the prompts produced here — pseudocode `generate(prompt, image_url_list?, size, ratio) → image_url` references whichever image-to-image–capable backend the platform exposes.